[USER (data scientist)]: Great! Now, how do I train a logistic regression classifier with this data? Please generate the code with the output in model type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
from sklearn.linear_model import LogisticRegression   
import pickle
from decision_company import read_csv_file, encoder_instance, encode_column, fetch_column, divide_dataset, create_LR_instance, classifier_training, classifier_predictions, calculate_conf_mat, calc_acc

# Load the dataset   
credit_customers = read_csv_file("credit_customers.csv")   
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(LogisticRegression)

# save data
pickle.dump(LogisticRegression,open("./pred_result/LogisticRegression.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can use the 'LogisticRegression' class from the 'sklearn.linear_model' module to train the classifier. Here's how:

# MY SOLUTION BEGIN:
